End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: roberta-large
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: cs605-nlp-assignment-2-roberta-large-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# cs605-nlp-assignment-2-roberta-large-v2
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1276
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- Accuracy: 0.8277
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.0502427338108112e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5531 | 1.0 | 746 | 0.4080 | 0.8025 |
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| 0.3957 | 2.0 | 1492 | 0.4222 | 0.8277 |
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| 0.1887 | 3.0 | 2238 | 0.4982 | 0.8193 |
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| 0.1522 | 4.0 | 2984 | 0.6922 | 0.8314 |
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| 0.0669 | 5.0 | 3730 | 0.8141 | 0.8253 |
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| 0.0526 | 6.0 | 4476 | 0.9023 | 0.8223 |
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| 0.0301 | 7.0 | 5222 | 0.9764 | 0.8267 |
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| 0.0218 | 8.0 | 5968 | 0.9749 | 0.8320 |
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| 0.0136 | 9.0 | 6714 | 1.0319 | 0.8247 |
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| 0.0095 | 10.0 | 7460 | 1.1276 | 0.8277 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 1421491284
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version https://git-lfs.github.com/spec/v1
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size 1421491284
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